Four-Wheel Aligner Calibration Using Cross-Vehicle Optical Reference
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Solution Overview
Problem
Existing four-wheel aligners suffer from deviations in the detection of four-wheel alignment due to misalignment of calibration detection devices on both sides, affecting the accuracy of vehicle wheel parameter measurements.
Innovation Solution
A calibration system comprising a first device with a first camera and a second device with a calibration member, where the first camera obtains image information of the calibration member on the opposite side, and a control device processes this information to ensure accurate mounting and alignment of the devices, enhancing detection accuracy by detecting the relative position relationship between the devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If calibration detection devices are mounted separately on both sides, then the device structure is simple and easy to install, but the positions of the devices may be deviated resulting in detection inaccuracies
Solution Approach 1:
A calibration member is introduced as an intermediary object between the two calibration detection devices. This calibration member serves as a reference standard that both devices can observe and compare against, enabling them to determine their relative positions and orientations. The calibration member acts as a mediator that facilitates accurate mutual calibration without requiring complex direct coupling between the devices.
Solution Approach 2:
The patent replaces mechanical alignment methods with optical imaging and image processing. Instead of using mechanical fixtures or physical alignment tools to position the calibration devices, the system uses cameras to capture images of the calibration member and employs control devices to process these images, automatically calculating positional relationships through image analysis.
2Measurement precision
If calibration devices are mounted at predetermined positions, then detection accuracy is ensured, but the mounting process becomes more complex and time-consuming
Solution Approach 1:
The calibration member is designed with pre-defined reference features and known geometric relationships before the calibration process begins. This preliminary preparation of the calibration standard allows the detection devices to quickly determine their positions without requiring complex real-time adjustments or iterative calibration procedures.
Solution Approach 2:
The system implements a feedback mechanism where the control device processes images from both calibration detection devices, compares the observed calibration member features against expected geometric relationships, and provides feedback information to determine whether the devices are properly positioned. This automated feedback loop enables rapid verification and adjustment.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system guarantees the accuracy of four-wheel alignment detection by ensuring the first and second devices are mounted at predetermined positions, improving the precision of wheel parameter measurements.
Implementation Method 1
the first camera of the first device is configured to obtain first image information of the calibration member of the second device located on an opposite side
Data Source
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AI summary
The present application relates to the field of vehicle detection technology, and provides a calibration system and a four-wheel aligner. The calibration system includes a first device (100) and a second device (200) for use in pairs. The first device (100) and the second device (200) are respectively arranged on the side of the vehicle (91) to be detected where the wheel (92) to be measured is arranged. The first device (100) includes a first camera (31), and the second device (200) includes a calibration member (32). The first camera (31) of the first device (100) is configured to obtain the first image information of the calibration member (32) of the second device (200) on the opposite side. The control device is connected to the first camera (31), and is configured to receive the first image information from the first camera (31) and process the first image information. The calibration system of the present application obtains the first image information of the second device (200) on the opposite side through the first camera (31). The distance relationship and relative position relationship between the first device (100) and the second device (200) can be detected through the first image information. When the four-wheel alignment detection is performed by a four-wheel aligner including the calibration system, the accuracy of the detection can be guaranteed.